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FAIR D&S
General
Introduction
Findable
Accessible
Interoperable
Reusable
FAIR Licenses for Data & Software
Summary, Acknowledgement & Additional Material
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FAIR Data and Software
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Open Science
FAIR D&S
Summary, Acknowledgement & Additional Material
All Recorded Sessions of the Workshop
All Recorded Sessions of the Workshop
Click
https://tibhannover.github.io/2018-07-09-FAIR-Data-and-Software#schedule
link to open resource.
◄ FAIR Data and Software - Summary
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01 – Introduction
Introduction, FAIR Principles and Management Plans
02 – Findable
Findability of Research Data and Software Through PIDs and FAIR Repositories
03 – Accessible
Accessibility Through Git, Python Functions and Their Documentation
Exercise: Jupyter Notebooks
04 – Interoperable
Interoperability Through Python Modules, Unit-Testing and Continuous Integration
Exercise: Python Modules and Packages
05 – Reusable
Reusability Through Community-Standards, Tidy Data Formats and R Functions, Their Documentation, Packaging and Unit-Testing
Exercise: Reusing datasets: from the abstract to the technical details
Exercise: FAIR-ifying R Software
06 – FAIR Licenses for Data & Software
Data Licensing
Software Licensing
Software Publication
07 – Summary
FAIR Data and Software - Summary
Open Science Q&A
Open Access Funding Opportunities
Open Science Q&A ►